activity
20202026
most citedA Semi-Lagrangian Approach for Time and Energy Path Planning Optimization in Static Flow Fields

2 citations · 2 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2026

Efficient Computation of Distance Functions for Navigation Vector Fields in Lie Groups

Vinicius M. Gonçalves, João Baião, Felipe Bartelt +4

Vector-field-based methods are widely used for robot control and are often applied to the path-tracking problem. Some vector field approaches require repeatedly computing the dista…

cs.RO2025

Can LLM Agents Solve Collaborative Tasks? A Study on Urgency-Aware Planning and Coordination

João Vitor de Carvalho Silva, Douglas G. Macharet

The ability to coordinate actions across multiple agents is critical for solving complex, real-world problems. Large Language Models (LLMs) have shown strong capabilities in commun…

cs.RO2025

Socially-aware Object Transportation by a Mobile Manipulator in Static Planar Environments with Obstacles

Caio C. G. Ribeiro, Leonardo R. D. Paes, Douglas G. Macharet

Socially-aware robotic navigation is essential in environments where humans and robots coexist, ensuring both safety and comfort. However, most existing approaches have been primar…

cs.RO2025

Beyond the Plane: A 3D Representation of Human Personal Space for Socially-Aware Robotics

Caio C. G. Ribeiro, Douglas G. Macharet

The increasing presence of robots in human environments requires them to exhibit socially appropriate behavior, adhering to social norms. A critical aspect in this context is the c…

cs.RO2024

Communication Backbone Reconfiguration with Connectivity Maintenance

Leonardo Santos, Caio C. G. Ribeiro, Douglas G. Macharet

The exchange of information is key in applications that involve multiple agents, such as search and rescue, military operations, and disaster response. In this work, we propose a s…

cs.RO2024★ 2 cited

A Semi-Lagrangian Approach for Time and Energy Path Planning Optimization in Static Flow Fields

Víctor C. da S. Campos, Armando A. Neto, Douglas G. Macharet

Efficient path planning for autonomous mobile robots is a critical problem across numerous domains, where optimizing both time and energy consumption is paramount. This paper intro…

cs.AI2023

Clustered Orienteering Problem with Subgroups

Luciano E. Almeida, Douglas G. Macharet

This paper introduces an extension to the Orienteering Problem (OP), called Clustered Orienteering Problem with Subgroups (COPS). In this variant, nodes are arranged into subgroups…

cs.RO2021

A Semi-Lagrangian Approach for the Minimal Exposure Path Problem in Wireless Sensor Networks

Armando Alves Neto, Víctor C. da Silva Campos, Douglas G. Macharet

A critical metric of the coverage quality in Wireless Sensor Networks (WSNs) is the Minimal Exposure Path (MEP), a path through the environment that least exposes an intruder to th…

cs.RO2020

Minimal Exposure Dubins Orienteering Problem

Douglas G. Macharet, Armando Alves Neto, Daigo Shishika

Different applications, such as environmental monitoring and military operations, demand the observation of predefined target locations, and an autonomous mobile robot can assist i…